DocumentCode :
3274496
Title :
Image De-Noising Algorithm Using Adaptive Bayes Threshold by Subband Based on Nonsubsampled Contourlet Transform
Author :
Ou Yang ; Hong Bo
Author_Institution :
Hunan Univ. of Technol., Zhuzhou, China
fYear :
2013
fDate :
16-18 Jan. 2013
Firstpage :
832
Lastpage :
835
Abstract :
Utilizing the nonsubsampled contour let transform\´s(NSCT)advantages of translation invariance", "multi-resolution", "multidirection", "A image de-noising algorithm using adaptive bayes threshold by sub band based on nonsubsampled contour let transform is presented. Source images are decomposed to the domain of the NSCT, and According to different scales, different directions of sub-band energy, adaptive denoising threshold. Comparing with the multi-scale threshold using contour let transform and using adaptive threshold based on contour let transform, the simulation results show that the performance of this method is superior in Visual effects and psnr.
Keywords :
Bayes methods; image denoising; image resolution; transforms; NSCT; adaptive Bayes threshold; adaptive denoising threshold; image denoising algorithm; multidirection; multiresolution; nonsubsampled contourlet transform; psnr; subband; translation invariance; visual effects; Image denoising; Noise reduction; PSNR; Wavelet transforms; Bayes threshold; image de-noising; nonsubsampled contourlet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
Type :
conf
DOI :
10.1109/ISDEA.2012.197
Filename :
6455733
Link To Document :
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